Food allergies are recognized as a growing public health concern, with an estimated 3% of
adults and 6-8% of children affected by food allergy disorders. Hence, food allergen …

Abstract Machine learning, as a study of algorithms that automate prediction and decision‐
making based on complex data, has become one of the most effective tools in the study of …

Since the introduction of optical fiber technology in the field of sensor based on the
technique of surface plasmon resonance (SPR), fiber-optic SPR sensors have witnessed a …

Surface plasmon resonance (SPR)-based biosensors are very powerful tools for the study of
biomolecular interactions, chemical detection and immunoassays. This paper reviews the …

Recently developed micro-and nano-structured optical fiber sensors, with particular
reference to surface plasmon resonance (SPR) fiber sensors and photonic crystal fiber …

A variety of configurations and formats have been devised to exploit the phenomenon of
surface plasmon on metal dielectric interfaces for sensing a variety of significant analytes …

Surface plasmon resonance (SPR) is a label-free, highly-sensitive, and real-time sensing
technique. Conventional SPR sensors, which involve a planar thin gold film, have been …

We propose a novel design for a photonic crystal fiber based surface plasmonic resonance
sensor. The sensor consists of selectively metal-coated air holes containing analyte …

A novel fiber optic surface plasmon resonance (SPR) sensing device based on spectral
interrogation of SPR in a miniature fiber optic sensing element using depolarized light is …

In this paper, surface plasmon resonance curves of an optical fiber-based sensor were
investigated. From an experimental and theoretical perspective, the response curves were …